scholarly journals Psychiatric Problems in Adolescence Mediate the Association Between Childhood Learning Disabilities and Later Well-Being

2021 ◽  
pp. 073194872110120
Author(s):  
Anna-Kaija Eloranta ◽  
Vesa M. Närhi ◽  
Joona S. Muotka ◽  
Asko J. Tolvanen ◽  
Elisa Korhonen ◽  
...  
Keyword(s):  
Learning Disabilities ◽  
Structural Equation ◽  
Psychosocial Problems ◽  
Well Being ◽  
Equation Modeling ◽  
Psychiatric Diagnoses ◽  
Adult Age ◽  
Mediation Analyses ◽  
And Gender ◽  
Psychiatric Problems

This follow-up study investigated the associations of childhood learning disabilities (LDs) with adult-age anxiety, depression, and unemployment. Psychosocial problems in childhood and psychiatric diagnoses and lack of education in adolescence were studied as potential mediators, and gender and mother’s education as potential moderators of these associations. Data on childhood clinical neuropsychological assessments and lifelong register data on individuals with childhood LD ( n = 430; 301 [70%] males; 20–39 years of age) and matched controls ( n = 2,149) were applied. Mediation analyses were performed using structural equation modeling. Childhood LDs exerted a significant, but relatively small effect on psychiatric diagnoses in adolescence, which predicted adult-age depression and anxiety. LDs were related to unemployment both directly and via psychiatric diagnoses in adolescence. Examination of differences in the effects on adult-age outcomes of subtypes of LDs revealed mathematical disability to be more strongly associated with psychosocial problems in childhood and psychiatric problems in adolescence and adulthood than reading disability. Our findings show that LD has small and mostly indirect effects on the risk for later well-being problems. The findings emphasize the importance of adolescence in predicting adult-age psychiatric and employment problems and call for more holistic support for individuals with LDs.

scholarly journals Factors Related to Mental Health During the COVID-19 Lockdown in Spain

2021 ◽  
Vol 12 ◽  
Author(s):  
Ruth Pinedo ◽  
Isabel Vicario-Molina ◽  
Eva González Ortega ◽  
Andrés Palacios Picos
Keyword(s):  
Mental Health ◽  
Latent Variables ◽  
Structural Equation ◽  
Online Survey ◽  
Psychological Impact ◽  
Well Being ◽  
Vulnerable Groups ◽  
Equation Modeling ◽  
Healthy Habits ◽  
And Gender

The COVID-19 disease has forced governments to adopt exceptional measures. The lockdown decreed in Spain in 2020 required citizens to stay confined at home, which might have affected their mental health. The objective is to identify factors that influenced adults' mental health during this period. A sample of 3,508 adults from the Spanish general population completed an online survey that collected sociodemographic data and information about daily planning and activities, healthy habits, loneliness, coping humor and mental health. Data were analyzed using Structural Equation Modeling. According to the results, the proposed model showed good fit values, and latent variables explained 30% of the variance in mental health. Loneliness, coping humor, healthy habits, age and gender had a significant weight in the prediction of mental health during lockdown. Area of residence, number of days of confinement and number of people in the household were not related to mental health. This study addresses the effect of COVID-19 and social distancing measures by identifying risk and protective factors for the development of mental health difficulties. There is a need to target specific and early interventions aimed at mitigating the psychological impact of the pandemic while increasing well-being, especially in more vulnerable groups.

Relationships between negative exchanges and depressive symptoms in older couples: The moderating roles of care and gender

2019 ◽  
Vol 37 (3) ◽  
pp. 843-864 ◽  
Author(s):  
Minyoung Kwak ◽  
Berit Ingersoll-Dayton
Keyword(s):  
Gender Differences ◽  
Depressive Symptoms ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Moderating Effects ◽  
Older Couples ◽  
Care Recipients ◽  
Significant Difference ◽  
And Gender

Marital relationships have a significant impact on older adults’ well-being. However, when contending with spousal illness or disability, negative exchanges may be particularly detrimental. This study examines the extent to which negative spousal exchanges have more impact on caregiving versus non-caregiving couples. Using dyadic analyses, this investigation compares three different groups consisting of (a) couples who did not provide or receive care, (b) couples in which husbands received care from their wives, and (c) couples in which wives received care from their husbands. We tested for gender differences in the effect of negative exchanges on depressive symptoms among caregivers and care recipients. Based on the 2012 and 2014 Health and Retirement Study, the sample consisted of 3,530 couples in which at least one of the spouses was aged 51 or over. Structural equation modeling was used to test the moderating effects of care and gender. Sociodemographic characteristics were included as control variables. Results indicated that there were significant differences in the magnitude of the path between negative exchanges and depressive symptoms across the subgroups. Among husbands, there was a stronger relationship between negative exchanges and depressive symptoms for care-receiving husbands than for caregiving husbands or husbands in non-caregiving relationships. Among wives, however, there was no significant difference in the path from negative exchanges with spouses to depressive symptoms across care status. We also found gender differences in the effect of negative exchanges on depressive symptoms among caregivers, but not among care recipients. Findings suggest that care status and gender of caregivers and care recipients have significant effects on the association between negative interactions within couples and mental health outcomes.

Relationships Between Bidirectional Work-Family Interactions and Psychological Well-Being

2014 ◽  
Vol 13 (2) ◽  
pp. 87-96 ◽  
Author(s):  
Xi-Chao Zhang ◽  
Oi Ling Siu ◽  
Jing Hu ◽  
Weiwei Zhang
Keyword(s):  
Family Conflict ◽  
Structural Equation ◽  
Time Lag ◽  
Well Being ◽  
Equation Modeling ◽  
Family Interactions ◽  
Work Family Conflict ◽  
Psychological Well Being ◽  
Direct Model ◽  
Work Family

This study investigated the direct, reversed, and reciprocal relationships between bidirectional work-family conflict/work-family facilitation and psychological well-being (PWB). We administered a three-wave questionnaire survey to 260 married Chinese employees using a time lag of one month. Cross-lagged structural equation modeling analysis was conducted and demonstrated that the direct model was better than the reversed causal or the reciprocal model. Specifically, work-to-family conflict at Time 1 negatively predicted PWB at Time 2, and work-to-family conflict at Time 2 negatively predicted PWB at Time 3; further, work-to-family facilitation at Time 1 positively predicted PWB at Time 2. In addition, family-to-work facilitation at Time 1 positively predicted PWB at Time 2, and family-to-work conflict at Time 2 negatively predicted PWB at Time 3.

Work Life Balance and Job Satisfaction - A Structural Equation Modeling

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 156-162
Author(s):  
Dr. D. Shoba ◽  
Dr. G. Suganthi
Keyword(s):  
Job Satisfaction ◽  
Structural Equation ◽  
Well Being ◽  
Work Life ◽  
Work Life Balance ◽  
Equation Modeling ◽  
Subjective Well Being ◽  
Life Balance ◽  
Study Results

Work-Life balance has its importance from ancient days and the concept is very old, from the day the world has been created. There was a drastic change that has occurred in the market of teachers and their personal profiles. There are tremendous changes in various families which have bartered from the ‘breadwinner’ role of traditional men to single parent families and dual earning couples. This study furnishes an insight into work life balance and job satisfaction of teachers working in School of Villupuram District. The sample comprises of 75 school teachers from Government and private schools in Villupuram District. The Study results that there is increasing mediating evidence in Work-life balance as well as Job satisfaction of teachers are not affected by the type of school in which they are working. Job satisfaction or Pleasure of life will be affected as a whole by Work life balance of an individual which is the main which can be calculated by construct of subjective well being.

Engaging leadership in the job demands-resources model

2015 ◽  
Vol 20 (5) ◽  
pp. 446-463 ◽  
Author(s):  
Wilmar B. Schaufeli
Keyword(s):  
Structural Equation ◽  
Work Performance ◽  
Online Survey ◽  
Job Demands ◽  
Well Being ◽  
Organizational Outcomes ◽  
Job Resources ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Content Type

Purpose – The purpose of this paper is to integrate leadership into the job demands-resources (JD-R) model. Based on self-determination theory, it was argued that engaging leaders who inspire, strengthen, and connect their followers would reduce employee’s levels of burnout and increase their levels of work engagement. Design/methodology/approach – An online survey was conducted among a representative sample of the Dutch workforce (n=1,213) and the research model was tested using structural equation modeling. Findings – It appeared that leadership only had an indirect effect on burnout and engagement – via job demands and job resources – but not a direct effect. Moreover, leadership also had a direct relationship with organizational outcomes such as employability, performance, and commitment. Research limitations/implications – The study used a cross-sectional design and all variables were based on self-reports. Hence, results should be replicated in a longitudinal study and using more objective measures (e.g. for work performance). Practical implications – Since engaged leaders, who inspire, strengthen, and connect their followers, provide a work context in which employees thrive, organizations are well advised to promote engaging leadership. Social implications – Leadership seems to be a crucial factor which has an indirect impact – via job demands and job resources – on employee well-being. Originality/value – The study demonstrates that engaging leadership can be integrated into the JD-R framework.

scholarly journals Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 657
Author(s):  
Rezzy Eko Caraka ◽  
Maengseok Noh ◽  
Rung-Ching Chen ◽  
Youngjo Lee ◽  
Prana Ugiana Gio ◽  
...  
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Healthy Lifestyle ◽  
Communicable Disease ◽  
Well Being ◽  
Equation Modeling ◽  
Human Beings ◽  
The Sustainable Development ◽  
Healthcare Facilities ◽  
Hierarchical Likelihood

Design: Health issues throughout the sustainable development goals have also been integrated into one ultimate goal, which helps to ensure a healthy lifestyle as well as enhances well-being for any and all human beings of all social level. Meanwhile, regarding the clime change, we may take urgent action to its impacts. Purpose: Nowadays, climate change makes it much more difficult to control the pattern of diseases transmitted and sometimes hard to prevent. In line with this, Centres for Disease Control (CDC) Taiwan grouped the spread of disease through its source in the first six main groups. Those are food or waterborne, airborne or droplet, vector-borne, sexually transmitted or blood-borne, contact transmission, and miscellaneous. According to this, academics, government, and the private sector should work together and collaborate to maintain the health issue. This article examines and connects the climate and communicable aspects towards Penta-Helix in Taiwan. Finding: In summary, we have been addressing the knowledge center on the number of private companies throughout the health care sector, the number of healthcare facilities, and the education institutions widely recognized as Penta Helix. In addition, we used hierarchical likelihood structural equation modeling (HSEMs). All the relationship variables among climate, communicable disease, and Penta Helix can be interpreted through the latent variables with GoF 79.24%.

Age and gender differences in socially aversive (“dark”) personality traits

2021 ◽  
pp. 089020702098843
Author(s):  
Johanna Hartung ◽  
Martina Bader ◽  
Morten Moshagen ◽  
Oliver Wilhelm
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Age Groups ◽  
Dark Triad ◽  
Equation Modeling ◽  
Model Parameters ◽  
Age And Gender ◽  
Measurement Models ◽  
And Gender ◽  
Latent Means

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.

Military Background and Gender Identity in Psychological Assessment Among College Students: Factorial Invariance of the Counseling Center Assessment of Psychological Symptoms–62 (CCAPS-62)

Assessment ◽  
2021 ◽  
pp. 107319112199876
Author(s):  
Arpita Ghosh ◽  
Christopher R. Niileksela ◽  
Rebecca Janis
Keyword(s):  
Gender Identity ◽  
Structural Equation ◽  
Psychological Symptoms ◽  
College Counseling ◽  
Counseling Center ◽  
Factorial Invariance ◽  
Equation Modeling ◽  
Future Research ◽  
Military Background ◽  
And Gender

The purpose of this study was to examine the factorial invariance of the Counseling Center Assessment of Psychological Symptoms–62 (CCAPS-62) across military background and gender identity. A sample of 2,208 military students and 2,208 nonmilitary students were chosen from a large database of university and college counseling centers. Using exploratory structural equation modeling, findings suggested the CCAPS-62 is mostly invariant across military background and gender identity. Only three item thresholds appeared to be noninvariant across groups. These results suggest comparisons of scores across military background and gender can be made. Latent mean differences across groups were also examined. After controlling for several background variables, there were some differences between males and females on subscales measuring depression, eating concerns, and generalized anxiety, but no differences between military and nonmilitary students. Implications for practice and future research are discussed.

scholarly journals Higher Education in Times of COVID-19: University Students’ Basic Need Satisfaction, Self-Regulated Learning, and Well-Being

AERA Open ◽  
2021 ◽  
Vol 7 ◽  
pp. 233285842110031
Author(s):  
Julia Holzer ◽  
Marko Lüftenegger ◽  
Selma Korlat ◽  
Elisabeth Pelikan ◽  
Katariina Salmela-Aro ◽  
...  
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Positive Emotion ◽  
Well Being ◽  
Need Satisfaction ◽  
Learning Motivation ◽  
Equation Modeling ◽  
Minor Effect ◽  
Self Regulated Learning ◽  
Regulated Learning

In the wake of COVID-19, university students have experienced fundamental changes of their learning and their lives as a whole. The present research identifies psychological characteristics associated with students’ well-being in this situation. We investigated relations of basic psychological need satisfaction (experienced competence, autonomy, and relatedness) with positive emotion and intrinsic learning motivation, considering self-regulated learning as a moderator. Self-reports were collected from 6,071 students in Austria (Study 1) and 1,653 students in Finland (Study 2). Structural equation modeling revealed competence as the strongest predictor for positive emotion. Intrinsic learning motivation was predicted by competence and autonomy in both countries and by relatedness in Finland. Moderation effects of self-regulated learning were inconsistent, but main effects on intrinsic learning motivation were identified. Surprisingly, relatedness exerted only a minor effect on positive emotion. The results inform strategies to promote students’ well-being through distance learning, mitigating the negative effects of the situation.

scholarly journals Family Solidarity, Social Support, Loneliness, and Well-Being Among Older Adults in Rural China

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 319-320
Author(s):  
Xiaoyan Zhang ◽  
Merril Silverstein
Keyword(s):  
Older Adults ◽  
Life Satisfaction ◽  
Adult Children ◽  
Child Support ◽  
Structural Equation ◽  
Total Population ◽  
Well Being ◽  
Equation Modeling ◽  
National Bureau ◽  
Subjective Well Being

Abstract China is experiencing a large increase in elderly population. In 2019, China’s population aged 60 and above had reached 253 million, accounting for 18.1% of the total population (National Bureau of Statistics of China, 2020). By 2050, the number of adults aged 60+ would be up to 430 million, reaching one third of the total population (Du, Zhai & Chen, 2005). Considering such a rapid aging process and the existing large number of older adults in China, it becomes imperative to investigate how psychosocial factors affect this group’s subjective well-being. This study proposed that, among older adults, higher support received from each of the three relational sources (adult children, family and friends) were associated with reduced loneliness and improved well-being. Structural equation modeling was conducted using a sample of rural adults aged 60 and older (N= 1142) from the 2018 wave of data from the Longitudinal Study of Older Adults in Anhui Province, China. Findings indicated that support from adult children directly and indirectly decreased older adults’ depression and improved their life satisfaction through loneliness; while support from family members directly decreased depression but did not directly improve life satisfaction or indirectly improve well-being through loneliness. Although support from friends did not have a significant impact on older adults’ well-being, it indirectly improved well-being through reduced loneliness. Findings have implications for programs or interventions targeting both parent -adult-child support and friends support and reducing rural older adults’ loneliness.

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